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Comparative analysis of coauthorship networks of different domains: The growth and change of networks

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  • Fuyuki Yoshikane

    (National Institution for Academic Degrees and University Evaluation)

  • Kyo Kageura

    (National Institute of Informatics)

Abstract

Many studies have tried to describe patterns of research collaboration through observing coauthorship networks. Those studies mainly analyze static networks, and most of them do not consider the development of networks. In this study, we turn our attention to the development of personal collaboration networks. On the basis of an analysis from two viewpoints, i.e., growth in the number of collaborating partners and change in the relationship strength with partners, we describe and compare the characteristics of four different domains, i.e., electrical engineering, information processing, polymer science, and biochemistry.

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  • Fuyuki Yoshikane & Kyo Kageura, 2004. "Comparative analysis of coauthorship networks of different domains: The growth and change of networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 435-446, August.
    • Handle: RePEc:spr:scient:v:60:y:2004:i:3:d:10.1023_b:scie.0000034385.05897.46
    DOI: 10.1023/B:SCIE.0000034385.05897.46
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    1. James Lee Ray & J. David Singer, 1973. "Measuring the Concentration of Power in the International System," Sociological Methods & Research, , vol. 1(4), pages 403-437, May.
    2. L. Egghe, 2002. "Sampling and concentration values of incomplete bibliographies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(4), pages 271-281.
    3. Fuyuki Yoshikane & Kyo Kageura & Keita Tsuji, 2003. "A method for the comparative analysis of concentration of author productivity, giving consideration to the effect of sample size dependency of statistical measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 521-528, April.
    4. Andersson, Ake E & Persson, Olle, 1993. "Networking Scientists," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 27(1), pages 11-21.
    5. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    6. Ramesh Kundra & Hildrun Kretschmer, 1999. "A new model of scientific collaboration part 2. Collaboration patterns in Indian medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 519-528, November.
    7. Allan D. Pratt, 1977. "A measure of class concentration in bibliometrics," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 28(5), pages 285-292, September.
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    Cited by:

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    3. Claudia Noumedem Temgoua, 2018. "Highly skilled migration and the internationalization of knowledge," Cahiers du GREThA (2007-2019) 2018-16, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
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    5. Christopher McCarty & James W. Jawitz & Allison Hopkins & Alex Goldman, 2013. "Predicting author h-index using characteristics of the co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 467-483, August.
    6. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2017. "Analysis of Slovenian research community through bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 791-813, February.
    7. Koen Jonkers & Robert Tijssen, 2008. "Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 309-333, November.
    8. Han-Wen Chang & Mu-Hsuan Huang, 2014. "Cohesive subgroups in the international collaboration network in astronomy and astrophysics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1587-1607, December.
    9. Javier Luis Cánovas Izquierdo & Valerio Cosentino & Jordi Cabot, 2016. "Analysis of co-authorship graphs of CORE-ranked software conferences," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1665-1693, December.
    10. Kim, Jinseok & Diesner, Jana, 2015. "The effect of data pre-processing on understanding the evolution of collaboration networks," Journal of Informetrics, Elsevier, vol. 9(1), pages 226-236.
    11. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2019. "A gender analysis of top scientists’ collaboration behavior: evidence from Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 405-418, August.
    12. Branco Ponomariov & Craig Boardman, 2016. "What is co-authorship?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1939-1963, December.
    13. Fuyuki Yoshikane & Takafumi Suzuki, 2014. "Diversity of fields in patent citations: synchronic and diachronic changes," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1879-1897, March.
    14. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Murgia, Gianluca, 2013. "The collaboration behaviors of scientists in Italy: A field level analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 442-454.
    15. Abramo, Giovanni & Aksnes, Dag W. & D’Angelo, Ciriaco Andrea, 2021. "Gender differences in research performance within and between countries: Italy vs Norway," Journal of Informetrics, Elsevier, vol. 15(2).
    16. Noémi Gaskó & Rodica Ioana Lung & Mihai Alexandru Suciu, 2016. "A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 613-632, August.
    17. Zhigang Hu & Wencan Tian & Jiacheng Guo & Xianwen Wang, 2020. "Mapping research collaborations in different countries and regions: 1980–2019," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 729-745, July.

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